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File Storage vePFS

Overview

Use cases

vePFS is a fully managed parallel file system service that provides robust storage support for low-latency, high-bandwidth business applications. It can be used with clients such as cloud servers and is well-suited for uses like large model training, autonomous driving, high-performance computing, AI data processing, container storage, content management, and web services.

Large model training

vePFS is highly adaptable to the machine learning platform (AML). It offers stable, efficient, and user-friendly high-performance parallel storage for large-scale training clusters.

Autonomous driving

vePFS delivers exceptional training performance and scalable storage capacity for the large amounts of data produced by autonomous driving scenarios.

High-performance computing

In high-bandwidth, low-latency, and high-performance computing scenarios, such as those in the biopharmaceutical and simulation industries, vePFS provides ultra-high IOPS and supports online elastic expansion. This enables you to quickly increase capacity and achieve linear growth in capacity and throughput performance. vePFS improves computing efficiency and reduces the complexity and cost of product operation and maintenance.

AI data processing

I/O-intensive applications, such as those used for image and video processing, have complex data flows and experience rapid growth in data volume. Such massive data requires high-speed processing and cost-effective data lifecycle management.

vePFS breaks the I/O performance bottlenecks of traditional storage systems, accelerates small file read speeds in AI training scenarios, and shortens the training iteration cycle of business models. It also provides tiered storage for hot and cold data, offering the best solution to reduce storage costs.

Container storage

vePFS offers microservices a persistent, quickly provisioned, and process-isolated shared file storage solution.

Content management and web services

vePFS provides storage for a wide range of applications including websites, online distribution, and archiving.

Last updated: 2026.03.03 10:17:07